Zobrazeno 1 - 10
of 506
pro vyhledávání: '"A H, Staib"'
Autor:
John C. Stendahl, Nripesh Parajuli, Allen Lu, Nabil E. Boutagy, Nicole Guerrera, Imran Alkhalil, Ben A. Lin, Lawrence H. Staib, Matthew O’Donnell, James S. Duncan, Albert J. Sinusas
Publikováno v:
Cardiovascular Ultrasound, Vol 18, Iss 1, Pp 1-16 (2020)
Abstract Background Quantitative regional strain analysis by speckle tracking echocardiography (STE) may be particularly useful in the assessment of myocardial ischemia and viability, although reliable measurement of regional strain remains challengi
Externí odkaz:
https://doaj.org/article/4738d46b6c9648d88c346869777ffdff
Publikováno v:
NeuroImage: Clinical, Vol 10, Iss C, Pp 291-301 (2016)
This paper describes a framework for learning a statistical model of non-rigid deformations induced by interventional procedures. We make use of this learned model to perform constrained non-rigid registration of pre-procedural and post-procedural im
Externí odkaz:
https://doaj.org/article/83d1c82b385841d9ac2980f0f07c4b81
Publikováno v:
Urology. 156:216-224
Objective To characterize voiding and storage symptom domain-specific outcomes after prostate artery embolization (PAE) to treat lower urinary tract symptoms (LUTS) or urinary retention caused by benign prostatic hyperplasia (BPH). Methods Two hundre
Autor:
Shawn S. Ahn, Kevinminh Ta, Albert J. Sinusas, Nripesh Parajuli, John C. Stendahl, James S. Duncan, Lawrence H. Staib, Matthew O'Donnell, Allen Lu, Zhao Liu, Geng-Shi Jeng, Nabil E. Boutagy
Publikováno v:
IEEE transactions on medical imaging
Reliable motion estimation and strain analysis using 3D+ time echocardiography (4DE) for localization and characterization of myocardial injury is valuable for early detection and targeted interventions. However, motion estimation is difficult due to
Autor:
Nathan Paulson, Tal Zeevi, Maria Papademetris, Michael S. Leapman, John A. Onofrey, Preston C. Sprenkle, Peter A. Humphrey, Lawrence H. Staib, Angelique W. Levi
Publikováno v:
JCO Clinical Cancer Informatics.
PURPOSE There is ongoing clinical need to improve estimates of disease outcome in prostate cancer. Machine learning (ML) approaches to pathologic diagnosis and prognosis are a promising and increasingly used strategy. In this study, we use an ML algo
Publikováno v:
Surgical and Radiologic Anatomy
Purpose The presence of a persistent primitive maxillary artery is described in the literature dealing with the development of the cavernous carotid inferolateral trunk, and the relevant similarities of the cranial circulation of the human and dog. T
Autor:
Joseph J. Cavallo, Howard P. Forman, Amir Imanzadeh, Lawrence H. Staib, Jennifer Arango, Irena Tocino, Sarvenaz Pourjabbar, Jay Pahade
Publikováno v:
Journal of the American College of Radiology. 17:1014-1024
PURPOSE To assess impact of electronic medical record-embedded radiologist-driven change-order request on outpatient CT and MRI examinations. METHODS Outpatient CT and MRI requests where an order change was requested by the protocoling radiologist in
Autor:
Dimitris N. Metaxas, Lawrence H. Staib, Xenophon Papademetris, Xiaojie Huang, John A. Onofrey, Daniel Rueckert, Fan Zhang, James S. Duncan
Publikováno v:
Annu Rev Biomed Eng
Sparsity is a powerful concept to exploit for high-dimensional machine learning and associated representational and computational efficiency. Sparsity is well suited for medical image segmentation. We present a selection of techniques that incorporat
Publikováno v:
AJNR Am J Neuroradiol
BACKGROUND AND PURPOSE: Scientific collaboration is traditionally acknowledged through coauthorship. Studies on this topic are few in the neuroimaging literature. This study is a bibliometric analysis of the American Journal of Neuroradiology (AJNR)
Autor:
Raj Ayyagari, T. Powell, Shivank Bhatia, Steven Schoenberger, Julius Chapiro, Ralph Devito, Lawrence H. Staib, Juan Carlos Perez-Lozada, Toby C. Chai
Publikováno v:
Urology. 136:212-217
To present outcomes for prostatic artery embolization (PAE) to treat urinary retention and gross prostatic hematuria in nonindex benign prostatic hyperplasia patients.Seventy-five patients undergoing PAE from December 2013 to August 2018 (age = 77.5